Lead Data Solution Architect | Global Insurer - APAC AI & Digital Transformation

Techforce Group Limited; Hong Kong; On-site; HKD 1,200,000 - 2,200,000; Full time

Job summary

Techforce Group Limited in Hong Kong is seeking an experienced Lead Data Solution Architect to shape the GWAM Asia data architecture roadmap and drive end-to-end solutions across ingestion, curation, models, and data products.

You will partner with regional and global teams, design scalable lakehouse patterns on Azure Databricks and Azure Data Factory, and lead design reviews, RBAC, and governance while delivering tangible business value.

Qualifications

• 10+ years of experience in data architecture or enterprise data platforms.
• Experience with enterprise data lakes and lakehouse platforms.
• Hands-on with Azure stack and cloud data solutions.
• Experience delivering batch and streaming pipelines; APIs.
• Knowledge of GenAI patterns.
• RBAC and least-privilege security.
• DevSecOps, CI/CD and cloud security.
• Strong stakeholder influence.

Responsibilities

• Own the GWAM Asia data architecture roadmap.
• Architect scalable data lifecycle solutions.
• Translate business goals into target-state architectures.
• Lead design reviews and provide technical sign-off.
• Define standard approaches for data pipelines, lakehouse design, APIs, observability, security.
• Oversee enterprise data models and RBAC.
• Drive governance, cybersecurity, risk, audit, and performance.
• Maintain architecture artifacts and run PoCs.

Skills

Data architecture

Enterprise data platforms

Cloud data solutions

Leadership

Communication

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

Databricks SQL Warehouse

Power BI

Azure OpenAI

AKS

Spark/PySpark

Python

SQL

Job description

A leading global organization is transforming technology into a strategic capability that accelerates business value. We're seeking an experienced Lead Data Solution Architect to drive the end-to-end data architecture roadmap for Global Wealth & Asset Management (GWAM) Asia.

This role is responsible for shaping and delivering the target-state architecture across data ingestion, curation, common data models, data products, and consumption - partnering closely with cross-functional delivery teams and regional/global business and technology stakeholders.

The platform is built on a Databricks Lakehouse and Microsoft Azure, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Databricks SQL Warehouse, and Microsoft Fabric/Power BI.

Key Responsibilities

Own the GWAM Asia data architecture roadmap, aligned to regional priorities and enterprise technology strategy.

Architect scalable solutions across the full data lifecycle: integration, ingestion, curation, storage, common data models, semantic layers, reporting, analytics, GenAI, and business-facing data products.

Translate business goals into target-state architectures, including solution options, data requirements, integration patterns, and phased roadmaps.

Lead design reviews, provide technical sign-off, and guide cross-functional teams.

Define and standardize technical approaches for data pipelines, lakehouse design, APIs, DevSecOps, observability, security, resilience, and operational support.

Oversee enterprise data models and design role-based access control (RBAC) aligned with least-privilege principles.

Ensure solutions meet enterprise expectations for data governance, cybersecurity, risk, audit, and application performance.

Maintain architecture artifacts and decision records, drive continuous improvement, and lead targeted proofs of concept for emerging technologies.

Required Qualifications

10+ years of experience in data architecture, solution architecture, data engineering, or enterprise data platforms, with accountability for complex design decisions.

Strong experience designing enterprise data lakes, lakehouse platforms, and scalable cloud data solutions.

Hands-on architecture experience with Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Spark/PySpark, Python, SQL, Databricks SQL Warehouse, and Microsoft Fabric/Power BI, plus practical experience with Azure OpenAI and Azure Kubernetes Service (AKS).

Experience delivering batch and streaming pipelines, ETL/ELT, APIs, cloud integration, reporting, analytics, and data products.

Knowledge of GenAI patterns, including prompt engineering, RAG (retrieval-augmented generation), vectorization, and similarity search.

Experience designing RBAC and implementing least-privilege access across cloud data platforms and data products.

Experience with DevSecOps, CI/CD, cloud security, data protection, monitoring, and operational resilience.

Proven ability to lead design discussions, resolve complex issues, and influence senior stakeholders.

Strong communication, collaboration, prioritization, and adaptability in a fast-changing environment.

Preferred Qualifications

Experience in financial services, wealth management, insurance, or asset management across Asia markets.

Knowledge of data governance and supporting practices, including metadata, master/reference data, data quality, lineage, data contracts, and control frameworks.

Experience with data products, MLOps, event-driven patterns, Change Data Capture (CDC), or containerized architectures.

Relevant Azure, Databricks, data architecture, GenAI, or Azure AI certifications.